Reliability, availability and maintainability analysis of a bag production industry based on the six sigma DMAIC approach

Tsarouhas, Panagiotis

doi:10.1108/ijlss-09-2019-0101

Cited by 18 publications

(12 citation statements)

References 62 publications

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“…Another example is the verification of the equipment parameters. Although the equipment was newly designed, the parameters were set up as those for the old equipment without verification, which may lead to equipment failures (Tsarouhas, 2020). After this improvement project, Company M is fully aware that the assurance activities can guarantee the effectiveness of the quality management system.…”

Section: Discussionmentioning

confidence: 99%

Six Sigma for improving tensile strength: a case study in the impregnating resin manufacturing company

Ren

Zhang

Bai

et al. 2022

IJLSS

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Purpose Unsatisfactory level of construction materials quality has been a persistent problem for companies in construction. This study aims to describe the application of the Six Sigma methodology for improving the tensile strength in a Chinese reinforcement material manufacturing company. Design/methodology/approach Six Sigma-based framework of define-measure-analyse-improve-control (DMAIC) methodology is adopted in this case study. During different stages, quality problems and critical factors are identified to improve the low performance of tensile strength and thixotropy of the impregnating resin. Findings The results provide solid evidence that how Six Sigma can be successfully applied in reinforcement material manufacturing. Results showed that vacuum degree, reaction temperature and stirring rate are significant factors on tensile strength. Control plans for continuous improvements are suggested and implemented. Our study found that managerial assurance activities such as verification were less developed than equipment-related control activities. Besides, data management required further elaboration on integrated data and information systematically, thereby to enable the company to make informed decisions and to support continuous improvement. Originality/value This study contributes to show a potential area in which Six Sigma DMAIC approach can promote to improve the tensile strength of impregnating resin. This case can prompt managers of the company to apply Six Sigma method to address complicated problems in other reinforcement material processes. Companies of construction and their suppliers can refer to this study when improving their manufacturing process.

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Section: Discussionmentioning

confidence: 99%

Six Sigma for improving tensile strength: a case study in the impregnating resin manufacturing company

Ren

Zhang

Bai

et al. 2022

IJLSS

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“…In recent decades, maintenance scheduling through reliability engineering analysis has played an important role in maintaining the system in an operating state [3]. Several recent studies have analyzed reliability, availability, and maintainability (RAM) in various types of industries and equipment, such as the ice cream industry [4], the bag industry [5], in mining with load, haul and dump machines (LHD machine) [6], in the textile process industry on steam boiler equipment [7], on conveyor system equipment [8], on deck objects on fishing vessels [9], plug-in electric vehicles [10], dragline equipment [11], truck unloading [12].…”

Section: Introductionmentioning

confidence: 99%

Availability Optimization of the Mobile Crane Using Approach Reliability Engineering at Oil and Gas Company

Rahman¹,

Sugiono²,

Sonief³

et al. 2022

MMEP

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Reliability engineering is needed for scheduling maintenance to improve system or equipment performance. The purpose of this paper is to provide recommendations for maintenance schedules based on reliability, availability, and maintainability (RAM) analysis that optimizes the availability of mobile cranes operating in Indonesian oil and gas companies. This paper begins with searching for a critical system using the Pareto principle. The critical system is then made a reliability block diagram to facilitate the analysis. However, before conducting the analysis, it is necessary to know the characteristics of the probability distribution of the data so that the analysis results are accurate and stable. Analysis of reliability, availability, and maintainability (RAM) is then carried out in the probability distribution equation for each system. The analysis results show that the implementation of maintenance at the time of reliability reaches the mean time between failure, and the maximum maintainability time is 240 minutes. The result is an increase in the availability of the lower structure (LS) system by 0.53% (98.78% to 99.31%), electrical and safety equipment (ESE) by 0.19% (99.02% to 99.21%), upper structure (US) was 0.07% (99.32% to 99.39), and overall system availability was 0.07% (99.31% to 99.38%).

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“…A reliability index or value is one method to identify a critical subsystem and provide a numerical value to determine the weakest parts and components critical for system performance [8]. The knowledge of reliability is necessary for reducing unplanned downtime costs as well as increasing system performance [9]. The use of an outstanding reliability program will ensure the maintenance data as crucial information regarding the system performance and direct the use of this information to be investigated by management [1].…”

Section: Introductionmentioning

confidence: 99%

Using Failure and Repair Data for System Improvement in Plant Facilities

Nurcahyo¹,

Nuryanto²,

Budiono³

et al. 2022

International Journal on Advanced Science, Engineering and Information Technology

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Previous research has emphasized the need to identify the cooling tower's critical components and parts in order to evaluate the system's performance. From a reliability point of view, a cooling tower is considered a series system. There is a redundant unit for some equipment to maintain availability and ensure the equipment carries out its intended function. The main objective of this study is to identify the critical component or parts of the cooling tower and evaluate system performance. Based on a scientific way: reliability, availability, and maintainability (RAM) analysis, the critical component of a cooling tower is investigated using RAM prediction indices. This paper deals with a case study conducted in a cooling tower plant. Both ERP extracted files, and maintenance log-book have been confirmed to maintenance personnel and maintenance monthly report to verify failure event and repair time. According to the results, the system performance (cooling tower) of the system availability is 93.91 percent. There is still an opportunity for a 6.09 percent system performance increase to be implemented on critical subsystems. The emphasis of crucial subsystem maintenance will be solely on the weakest components. Pareto charts and RAM analysis show that pump performance should be prioritized on essential components, such as packing seals or grand packing. The performance results obtained by upgrading are predicted to be 95.6725 percent. This paper proposes a method for identifying the weakest component or part based on failure and repair data. The weakest component will be the focus of future system performance improvements.

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Reliability, availability and maintainability analysis of a bag production industry based on the six sigma DMAIC approach

Cited by 18 publications

References 62 publications

Six Sigma for improving tensile strength: a case study in the impregnating resin manufacturing company

Six Sigma for improving tensile strength: a case study in the impregnating resin manufacturing company

Availability Optimization of the Mobile Crane Using Approach Reliability Engineering at Oil and Gas Company

Using Failure and Repair Data for System Improvement in Plant Facilities

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